MLOps & Devops Engineers
Posted Updated 7
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Summary
Build and automate ML pipelines, CI/CD, and cloud infrastructure for AI deployments, ensuring security, monitoring, and model/data drift detection.
- Automate ML pipeline deployments
- Build CI/CD pipelines
- Deploy ML models with canary testing
- Design cloud infrastructure
- Develop ML evaluation pipelines
- Ensure security and data privacy compliance
- Implement Terraform infrastructure as code
- Implement data drift detection
- Implement model drift detection
- Integrate observability tools
- Set up monitoring and alerting
- Use distributed tracing and logging